Andreas Opelt
Computer Vision and Pattern Recognition · 2004–2006
A researcher in the Science corpus: 4 papers; trusts 357 researchers and is trusted by 1,566 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #1,041 of 21,575 by trust here, #5,287 by citations
- Aerospace Engineering — 8 citations into it; #1,883 of 6,421 by trust here, #2,315 by citations
- Artificial Intelligence — 8 citations into it; #14,960 of 35,345 by trust here, #20,377 by citations
- Media Technology — 8 citations into it; #647 of 3,621 by trust here, #872 by citations
- Optimization & Training — 5 citations into it
Whom Andreas Opelt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rob Fergus
- Krystian Mikolajczyk
- Cordelia Schmid
- David G. Lowe
- Shivani Agarwal
- Pietro Perona
- Andrew Zisserman
- Pedro F. Felzenszwalb
- Paul A. Viola
- Geoffrey E. Hinton
Who trusts Andreas Opelt overall
- Andrew Zisserman
- Yong Jae Lee
- Kristen Grauman
- Yi Yang
- Cordelia Schmid
- Navneet Dalal
- Jitendra Malik
- Luc Van Gool
- Bryan C. Russell
- Josef Sivic
Papers from Andreas Opelt's perspective
Ordered by how strongly the researchers Andreas Opelt trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Weak Hypotheses and Boosting for Generic Object Detection and Recognition (2004) — 367 citations
- A Boundary-Fragment-Model for Object Detection (2006) — 395 citations
- Generic object recognition with boosting (2006) — 431 citations
- Incremental learning of object detectors using a visual shape alphabet (2006) — 206 citations